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An information based one-factor asset pricing model

Author

Listed:
  • Ghosh, Anisha
  • Julliard, Christian
  • Taylor, Alex

Abstract

Given a set of asset returns, an information-theoretic approach is used to estimate non-parametrically the pricing kernel to price the given cross-section out-of-sample. Compared to leading factor models, this information SDF delivers smaller pricing errors and better cross-sectional fit, and identifies the maximum Sharpe ratio portfolio out-of-sample. Moreover, it extracts novel pricing information not captured by Fama-French and momentum factors, leading to an ‘information anomaly.' A tradable information portfolio that mimics this kernel has a very high out-of-sample Sharpe ratio, outperforming both the 1/N benchmark and the Value and Momentum strategies combined. These results hold for a wide cross-section of assets.

Suggested Citation

  • Ghosh, Anisha & Julliard, Christian & Taylor, Alex, 2016. "An information based one-factor asset pricing model," LSE Research Online Documents on Economics 118978, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:118978
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    File URL: http://eprints.lse.ac.uk/118978/
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    References listed on IDEAS

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    More about this item

    Keywords

    pricing kernel; relative entropy; factor models; factor mimicking portfolios; alpha;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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